CATEGORY-BASED FULL-TEXT SEARCHING
Various embodiments of the present disclosure provide a solution for category-based full-text searching. In some embodiments, there is provided a method of full-text searching. The method includes generating a first full-text index based on an obtained electronic document content. The method also includes categorizing the electronic document to determine a category identifier for the electronic document, and generating a second full-text index based on the category identifier. The method further includes storing the first full-text index and the second full-text index.
1 . A method of full-text searching, comprising:
Generating a first full-text index based on content of an obtained electronic document;
Categorizing the electronic document to determine a category identifier for the electronic document;
Generating a second full-text index based on the category identifier; and
storing the first full-text index and the second full-text index.
2 . The method according to claim 1 , wherein categorizing the electronic document comprises at least one of:
Categorizing the electronic document based on metadata associated with the electronic document; Or
categorizing the electronic document by analyzing semantics of the content of the electronic document.
3 . The method according to claim 1 , wherein categorizing the electronic document comprises:
Determining whether the electronic document belongs to a predetermined category; And
in response to determining that the electronic document belongs to the predetermined category, determining a category identifier associated with the predetermined category as the category identifier for the electronic document.
4 . The method according to claim 3 , wherein categorizing the electronic document further comprises:
in response to determining that the electronic document belongs to the predetermined category, determining whether the electronic document belongs to a sub-category of the predetermined category; and
in response to determining that the electronic document belongs to the sub-category, determining a category identifier associated with the sub-category as the category identifier for the electronic document.
5 . The method according to claim 3 , wherein the predetermined category and the sub-category are stored in a tree structure, and
wherein categorizing the electronic document comprises:
Determining the category identifier for the electronic document by traversing the tree structure.
6 . The method according to claim 1 , further comprising:
Generating a third full-text index based on metadata associated with the electronic document; And
storing the third full-text index.
7 . A method of full-text searching, comprising:
Obtaining a search term input by a user, the search term including at least at category keyword related to a category identifier for an electronic document to be searched;
Matching the search term with one of a plurality of predefined full-text indexes, the plurality of full-text indexes including at least a first full-text index related to a category identifier determined by categorizing at least one electronic document; And
determining an associated electronic document based on the matched full-text index.
8 . The method according to claim 7 , wherein the search term further includes a content keyword related to content of the electronic document to be searched, and the plurality of full-text indexes further include a second full-text index generated based on content of the at least one electronic document.
9 . The method according to claim 7 , wherein obtaining a search term input by a user comprises:
Providing the user with a first option corresponding to the predetermined category; And
in response to selection of the first option by the user, determining the category keyword based on the category identifier of the predetermined category.
10 . The method according to claim 9 , wherein obtaining a search term input by a user further comprises:
Providing the user with a second option corresponding to a sub-category of the predetermined category; And
in response to selection or the second option by the user, determining the category keyword based on category identifier of the sub-category.
11 . An apparatus for full-text searching, comprising:
At least one processing unit; And
at least one memory coupled to the at least one processing unit and storing instructions thereon, the instructions, when executed by the at least one processing unit, causing acts including:
Generating a first full-text index based on content of an obtained electronic document;
Categorizing the electronic document to determine a category identifier for the electronic document;
Generating a second full-text index based on the category identifier; And
storing the first full-text index and the second full-text index.
12 . The apparatus according to claim 11 , wherein categorizing the electronic document comprises at least one of:
Categorizing the electronic document based on metadata associated with the electronic document; Or
categorizing the electronic document by analyzing semantics of the content of the electronic document.
13 . The apparatus according to claim 11 , wherein categorizing the electronic document comprises:
Determining whether the electronic document belongs to a predetermined category; And
in response to determining that the electronic document belongs to the predetermined category, determining a category identifier associated with the predetermined category as the category identifier for the electronic document.
14 . The apparatus according to claim 13 , wherein categorizing the electronic document further comprises:
In response to determining that the electronic document belongs to the predetermined category, determining whether the electronic document belongs to a sub-category of the predetermined category; And
in response to determining that the electronic document belongs to the sub-category, determining a category identifier associated with the sub-category as the category identifier for the electronic document.
15 . The apparatus according to claim 13 , wherein the predetermined category and the sub-category are stored in a tree structure, and
wherein the categorizing the electronic document comprises:
Determining the category identifier for the electronic document by traversing the tree structure.
16 . The apparatus according to claim 11 , wherein the acts further include:
Generating a third full-text index based on metadata associated with the electronic document; And
storing the third full-text index.
17 - 23 . (canceled)